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This will be a written assignment for my doctoral quantitative analysis class regarding descriiptive statistics & data displays.
Instructions:
1. Perform analyses in SPSS on THREE variables (one nominal, one ordinal, and one interval/ratio) to obtain appropriate descriiptive statistics (e.g., measures of central tendency, dispersion, and distribution). Be sure to choose appropriate descriiptive statistics for each variable, separate and independent of one another.
2. Write out the key descriiptive information (e.g., mean, median, mode, standard deviation) in the body of the text, and not just include the tables and not write about them. Also include a clear rationale or justification as to why each of your three variables is nominal, ordinal, interval, or ratio.
3. Create appropriate and useful data displays (e.g., histogram, bar graphs, pie charts) for each chosen variable. (Be sure to include the percentages and raw numbers within the graphs for the pie charts and bar graphs. See Model Paper.)
4. Export or paste your SPSS output into a Word document and write up the results of these analyses as they would appear in a research report. Use the APA 7th manual or the OWL at Purdue for formatting guidance. Be sure to discuss your analyses.
5. Write a paragraph (200 to 400 words) at the end of your paper to address why exploratory data analysis (or a descriiptive analysis of the variables) is a critical part of any statistical analysis. The explanation must include key concepts and course citations from the provided resources to demonstrate your understanding. 
Attached is a model paper. (Do not use any of the variables used in this model paper for your assignment.)
Note that the model paper does not contain discussion on exploratory data analysis, but you are still responsible for completing that portion of the assignment in your submission.
For my assignment, here are the variables used:
Nominal- Labor Force Status
Ordinal- Stress level associated with work
Ratio- Number of children
I have attached the SPSS output material for each variable, as well as recommended resources to elaborate on the assignment expectations. Make sure to provide substantial evidence from scholarly resources and refrain from making generalized statements. Textbooks, blogs, magazine or internet articles, book chapters, or special reports, do not count toward scholarly resources.

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